Julie Pallant's SPSS Survival Manual throws a lifeline to students and researchers grappling with this data analysis software.
In this thoroughly revised edition of her bestselling text, now covering up to version 18 of the SPSS software, Julie Pallant guides you through the entire research process, helping you choose the right data analysis technique for your project.
From the formulation of research questions, to the design of the study and analysis of data, to reporting the results, Julie discusses basic and advanced statistical techniques. She outlines each technique clearly, with easy to follow step-by-step procedures for performing the analysis, a detailed guide to interpreting data output and an example of how to present the results in a report. In this fourth edition all chapters have been updated to accommodate changes to SPSS procedures, screens and output. A number of additional techniques (McNemar's Test, Cochran's Q Test) have been included in the Non_parametric Statistics chapter.
For both beginners and experienced users in psychology, sociology, health sciences, medicine, education, business and related disciplines, the SPSS Survival Manual is THE essential guide. Illustrated with screen grabs, examples of output and tips, it is supported by a website with sample data and guidelines on report writing.
"It reads as though someone is sitting next to you conversing with you and taking you through it ... It has a reassuring tone. Julie Pallant writes in a kind and inclusive way which students appreciate."-Sue Thorpe, Lecturer in Research Methods, Department of Psychology, University of Surrey, UK.
"Its key strengths are clarity, clear English, clear explanations, and clear examples. What this book does well is to provide easy, straightforward explanations."-Martin Lea, Senior Lecturer, School of Psychological Sciences, University of Manchester, UK.
"An excellent introduction to using SPSS for data analysis... It provides a self-contained resource itself, with more than simply (detailed and clear) step-by-step descriptions of statistical procedures in SPSS. There is also a wealth of tips and advice, and for each statistical technique a brief, but consistently reliable, explanation is provided."
-Associate Professor George Dunbar, Department of Psychology, University of Warwick, UK.
Part One: Getting started
Designing a study
Preparing a codebook
Getting to know SPSS
Part Two: Preparing the data file
Creating a data file and entering data
Screening and cleaning the data
Part Three: Preliminary analyses
Using graphs to describe and explore the data
Manipulating the data
Checking the reliability of a scale
Choosing the right statistic
Part Four: Statistical techniques to explore relationships among variables
Part Five: Statistical techniques to compare groups
One-way analysis of variance
Two-way between-groups ANOVA
Mixed between-within subjects analysis of variance
Multivariate analysis of variance
Analysis of covariance
Appendix: Details of data files